ANOVA

ANOVA is used to test whether there are meaningful differences among the mean levels of more than two groups. Instead of running many separate t-tests, it evaluates all groups within a single framework. This helps control false positives more effectively. It is common in experiment design, product comparisons, user segmentation, and model variant analysis. ANOVA is especially valuable for systematically isolating group effects.